An Ontological Knowledge Representation for Smart Agriculture
This addresses the need for better knowledge representation in smart farming to leverage technologies like IoT and big data, but it appears incremental as it builds on existing ontology concepts.
The study tackled the problem of representing knowledge for smart agriculture by proposing an agricultural ontology framework that uses a lattice-based knowledge graph to capture and reason about spatio-temporal data, but no concrete results or numbers are provided.
In order to provide the agricultural industry with the infrastructure it needs to take advantage of advanced technology, such as big data, the cloud, and the internet of things (IoT); smart farming is a management concept that focuses on providing the infrastructure necessary to track, monitor, automate, and analyse operations. To represent the knowledge extracted from the primary data collected is of utmost importance. An agricultural ontology framework for smart agriculture systems is presented in this study. The knowledge graph is represented as a lattice to capture and perform reasoning on spatio-temporal agricultural data.